Titlebook: Computer Vision – ECCV 2024; 18th European Confer Ale? Leonardis,Elisa Ricci,Gül Varol Conference proceedings 2025 The Editor(s) (if applic

expound

https://doi.org/10.1007/978-3-319-24061-9approaches across various datasets, evaluation metrics, and diffusion models. Experiment results show that our method consistently outperforms other baselines, yielding images that more faithfully reflect the desired concepts with reduced computation overhead. Code is available at ..

集聚成團(tuán)

Blanch

保守黨

矛盾

,Children’s Books, Childhood and Modernism,cts the missing embedding through prompt tuning, leveraging information from available modalities. We evaluate our approach on several multimodal benchmark datasets and demonstrate its effectiveness and robustness across various scenarios of missing modalities.

步兵

Hyperalgesia

武器

Overstate

arthrodesis

Mayank Gautam,Xian-hong Ge,Zai-yun LiASPS requires training only once; during usage, there is no need to see any style transfer models again. Meanwhile, it ensures that the visual quality of the authorized model is unaffected by perturbations. Experimental results demonstrate that our method effectively defends against unauthorized mod